Training course · Google Gemini · Quality Management

Google Gemini for Quality Management Teams

Make productive use of Google Gemini and Gemini in Workspace: Docs, Sheets, Gmail, Meet, custom Gems and NotebookLM for your sources.

Duration
1 day (7 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

This course connects Google Gemini with the everyday processes of Quality Management. Participants work on realistic scenarios and leave with prompts, workflows and checklists they can use straight away.

For organisations running on Google Workspace, Gemini is the natural AI assistant: it is available as a standalone app and is also built directly into Gmail, Docs, Sheets, Slides, Drive and Meet. In this practical day you learn to combine both access points deliberately. You summarise email threads and draft replies, create document drafts based on existing files in Drive, structure and analyse spreadsheets in Sheets and have Meet take meeting notes automatically – always with a focus on your own day-to-day workflows.

You also build your own Gems: specialised assistants with fixed instructions and knowledge files that standardise recurring tasks across the team. With Deep Research you produce well-founded research reports, and you use NotebookLM as a source-grounded workspace that answers only from your own documents and cites the relevant passages. A dedicated module covers data protection and administration in Workspace environments. You leave with tested prompts, a working Gem and a clear picture of which Google tool suits which task.

Quality management depends on clean documentation, systematic analysis and rigorous follow-up of actions. Generative AI can relieve quality teams exactly there: AI assistants create and revise procedures, prepare audits, analyse complaints, support 8D reports and FMEA and compare documents with standard requirements such as ISO 9001 or IATF 16949. Automation sends reminders about action deadlines, evaluates inspection data and consolidates supplier ratings. That leaves more time for root cause work, process improvement and collaboration with production and engineering. AI output must not replace conformity with standards; it needs expert review and must enter the management system through controlled processes. When document control and approval workflows are respected, AI becomes a reliable tool for quality and efficiency.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Who is this course for?

  • Quality managers and management representatives
  • Quality engineers and quality planners
  • Internal auditors
  • Complaint and supplier quality managers
  • Process owners in management systems

Typical challenges we address

  • Keeping extensive quality documentation current, consistent and compliant with standards
  • Analysing and resolving complaints and nonconformities quickly
  • Preparing internal and external audits efficiently
  • Reliably tracking actions from audits, 8D reports and management reviews

What you will be able to do

  • You use Gemini in Gmail, Docs, Sheets, Slides and Meet for your recurring tasks.
  • You write prompts that bring existing Drive files and emails into the context.
  • You build a custom Gem and share it with your team.
  • You work source-grounded in NotebookLM and obtain referenced answers from your own documents.
  • Create and maintain quality documentation efficiently and in line with standards using AI.
  • Use AI for complaint analysis, 8D, FMEA and audit preparation.
  • Integrate AI output into your management system in a controlled and traceable way.

Course outline

Module 1 Gemini fundamentals and effective prompts
  • The Gemini app and Gemini in Workspace: access points and use cases
  • Prompts with task, context, format and references to Drive files
  • Web search, Deep Research and checking sources
  • Limitations, hallucinations and critical evaluation of output
Module 2 Gmail, Docs and Slides
  • Summarising email threads and drafting context-aware replies
  • Drafting, rewriting and tailoring documents in Docs
  • Pulling in and combining content from Drive files
  • Creating presentation content and images in Slides
Module 3 Sheets and Meet
  • Structuring tables, generating formulas and cleaning data
  • Analyses, summaries and charts in Sheets
  • Letting Meet take meeting notes automatically
  • Deriving action items and decisions from meeting notes
Module 4 Gems and NotebookLM
  • Creating custom Gems with instructions and knowledge files
  • Testing, improving and sharing Gems with the team
  • NotebookLM as a source-grounded workspace for your own documents
  • Generating summaries, study aids and audio overviews from sources
Module 5 Data protection, administration and rollout
  • Privacy commitments for Workspace customers versus personal accounts
  • Drive sharing settings and how they affect Gemini results
  • Handling personal and confidential data in line with GDPR
  • Usage policies and quality assurance within the team
Module 6 Practice lab: Quality Management
  • Writing procedures
  • Standards gap analysis
  • 8D report support
  • FMEA preparation
  • Audit preparation
  • Complaint data analysis
Module 7 Data protection, quality & transfer to daily work
  • AI-generated documents must meet the standard's requirements for controlling documented information and be reviewed by experts before release. Customer data from complaints and confidential product information may only be processed in approved, GDPR-compliant AI environments.
  • Ground rules for safe AI use in your team
  • Checking results: facts, sources, tests and the four-eyes principle
  • Personal action plan for the next 30 days
  • Open questions, outlook and resources for further learning

Practical scenarios from your field

Writing procedures

An AI assistant turns process descriptions and interviews into procedures and work instructions with a consistent structure, checks them for contradictions with other documents and suggests improvements.

Standards gap analysis

AI compares existing documents with the requirements of ISO 9001, IATF 16949 or ISO 13485, highlights possible gaps and produces an action list for expert evaluation.

8D report support

For complaints, AI structures the problem description, suggests containment actions and possible root causes and writes the 8D report in a form customers can understand.

FMEA preparation

Based on process steps and experience, AI suggests failure modes, effects and causes and helps the team facilitate and document FMEA sessions.

Audit preparation

From standard clauses and the process map, AI creates audit questions, checklists and audit plans and condenses audit notes into a structured draft report with findings.

Complaint data analysis

Complaints and inspection results are analysed by defect type, product and supplier, trends identified and priorities for improvement projects proposed.

Prerequisites

Confident everyday use of Google Workspace (Gmail, Drive, Docs, Sheets); no prior AI knowledge is required. You work in quality management and know the requirements of your management system, for example ISO 9001.

Technical requirements

A laptop with an up-to-date browser and a Google Workspace account with Gemini features enabled; alternatively a Google account for the Gemini app and NotebookLM.

Data protection & compliance

AI-generated documents must meet the standard's requirements for controlling documented information and be reviewed by experts before release. Customer data from complaints and confidential product information may only be processed in approved, GDPR-compliant AI environments.

Suggested dates

All dates are suggestions – your preferred date is always possible.

  • Wed, 25 November 2026 Online Request
  • Fri, 11 December 2026 Berlin Request
  • Fri, 18 December 2026 Online Request
  • Mon, 11 January 2027 Online Request
  • Wed, 27 January 2027 Stuttgart Request
  • Thu, 4 February 2027 Online Request

Frequently asked questions

What is the difference between the Gemini app and Gemini in Workspace?

The Gemini app is a standalone chat assistant for research, writing and analysis. Gemini in Workspace works directly inside Gmail, Docs, Sheets, Slides and Meet and can draw on your emails and Drive files. In practice they complement each other: the app for open questions, the integrated version for work on specific documents.

Why would I use NotebookLM in addition to Gemini?

NotebookLM restricts its answers to the sources you upload – policies, studies or project files, for example – and points to the relevant passages. This reduces hallucinations and works well for getting up to speed on a topic, building internal knowledge collections or preparing training material. Gemini is broader in scope and can also draw on the web.

Is my Workspace data used to train Gemini?

For Google Workspace customers, Google commits that content from Gmail, Drive and other services is not used to train models outside your domain without permission. Different rules apply to personal accounts. Either way, GDPR and your internal policies remain decisive – in the course we review the relevant settings together.

Do auditors accept AI-generated documents?

What matters is not who drafted a document but whether it is technically correct, controlled, approved and applied in practice. If you review AI drafts, release them through your document control and keep responsibility clear, they meet the standard's requirements. We show how to integrate AI cleanly into these processes.

Can AI replace an FMEA?

No. An FMEA relies on the team's cross-functional knowledge of product and process. AI can prepare, make suggestions and document, which makes sessions more efficient. Ratings and decisions on actions remain with the team, which is accountable for the result.

How much does “Google Gemini for Quality Management Teams” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 1 training day(s) with a live trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. Our suggested dates are just a guide. In the request form you can always describe your preferred date or period in free text – we check availability and confirm within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart or Kaiserslautern. We can also run the course exclusively for your team.

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